Reading to learn: Constructing features from semantic abstracts

EMNLP 2009 - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: A Meeting of SIGDAT, a Special Interest Group of ACL, Held in Conjunction with ACL-IJCNLP 2009

Volumn , Issue , 2009, Pages 958-967

  Eisenstein, Jacob ^a   Clarke, James ^b   Goldwasser, Dan ^b   Roth, Dan ^a,b  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

^b University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FEATURE SPACE; GENERATIVE MODEL; HIGH LEVEL SEMANTICS; HUMAN LEARNING; LABELED DATA; MULTIPLE DOCUMENTS; RELATIONAL LEARNING; SEMANTIC ANALYSIS; TRAINING SYSTEMS;

ABSTRACTING; COMPUTATIONAL LINGUISTICS; LEARNING ALGORITHMS; LEARNING SYSTEMS; SEMANTICS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 80053432060     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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